X射线吸收光谱法
钒
表征(材料科学)
材料科学
氧化还原
碳纤维
吸收(声学)
电极
光谱学
吸收光谱法
无机化学
纳米技术
化学工程
分析化学(期刊)
化学
物理化学
有机化学
光学
冶金
物理
工程类
复合材料
复合数
量子力学
作者
Wenyu Sun,Namhoon Kim,Amani M. Ebrahim,Shubham Sharma,Aaron Hollas,Qian Huang,David Reed,Edwin C. Thomsen,Vijayakumar Murugesan,T. van Buuren,Liwen F. Wan,Jonathan R. I. Lee
标识
DOI:10.1021/acsami.3c17049
摘要
Vanadium redox flow batteries (VRFBs) have emerged as promising solutions for stationary grid energy storage due to their high efficiency, scalability, safety, near room-temperature operation conditions, and the ability to independently size power and energy capacities. The performance of VRFBs heavily relies on the redox couple reactions of V2+/V3+ and VO2+/VO2+ on carbon electrodes. Therefore, a thorough understanding of the surface functionality of carbon electrodes and their propensity for degradation during electrochemical cycles is crucial for designing VRFBs with extended lifespans. In this study, we present a coupled experimental-theoretical approach based on carbon K edge X-ray absorption spectroscopy (XAS) to characterize carbon electrodes prepared under different conditions and identify relevant functional groups that contribute to unique spectroscopic features. Atomic models were created to represent functional groups, such as hydroxyl, carboxyl, methyl, and aldehyde, bonded to carbon atoms in either sp2 or sp3 environments. The interactions between functionalized carbon and various solvated vanadium complexes were modeled using density functional theory. A library of carbon K-edge XAS spectra was generated for distinct carbon atoms in different functional groups, both before and after interacting with solvated vanadium complexes. We demonstrate how these simulated spectra can be used to deconvolve ex situ experimental spectra measured from carbon electrodes and to track changes in the electrode composition following immersion in different electrolytes or extended cycling within a functional VRFB. By doing so, we identify the active species present on the carbon electrodes, which play a crucial role in determining their electrochemical performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI